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2207.00449
Cited By
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
1 July 2022
Sanat Ramesh
V. Srivastav
Deepak Alapatt
Tong Yu
Aditya Murali
Luca Sestini
C. Nwoye
Idris Hamoud
Saurav Sharma
A. Fleurentin
Georgios Exarchakis
Alexandros Karargyris
N. Padoy
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Papers citing
"Dissecting Self-Supervised Learning Methods for Surgical Computer Vision"
31 / 31 papers shown
Title
Systematic Evaluation of Large Vision-Language Models for Surgical Artificial Intelligence
Anita Rau
Mark Endo
Josiah Aklilu
Jaewoo Heo
Khaled Saab
Alberto Paderno
Jeffrey Jopling
F. C. Holsinger
Serena Yeung-Levy
46
0
0
03 Apr 2025
Surg-3M: A Dataset and Foundation Model for Perception in Surgical Settings
Chengan Che
Chao Wang
Tom Vercauteren
Sophia Tsoka
Luis C. García-Peraza-Herrera
MedIm
46
0
0
25 Mar 2025
Surgical Scene Understanding in the Era of Foundation AI Models: A Comprehensive Review
Ufaq Khan
Umair Nawaz
A. Qayyum
Shazad Ashraf
Muhammad Bilal
Junaid Qadir
76
0
0
24 Feb 2025
Early Operative Difficulty Assessment in Laparoscopic Cholecystectomy via Snapshot-Centric Video Analysis
Saurav Sharma
Maria Vannucci
Leonardo Pestana Legori
Mario Scaglia
Giovanni Guglielmo Laracca
Didier Mutter
Sergio Alfieri
Pietro Mascagni
N. Padoy
38
0
0
10 Feb 2025
Pseudo-label Refinement for Improving Self-Supervised Learning Systems
Zia-ur-Rehman
Arif Mahmood
Wenxiong Kang
33
1
0
18 Oct 2024
SurgPETL: Parameter-Efficient Image-to-Surgical-Video Transfer Learning for Surgical Phase Recognition
Shu Yang
Zhiyuan Cai
Luyang Luo
Ning Ma
Shuchang Xu
Hao Chen
29
0
0
30 Sep 2024
Exploring the Effect of Dataset Diversity in Self-Supervised Learning for Surgical Computer Vision
Tim J. M. Jaspers
Ronald L.P.D. de Jong
Yasmina Alkhalil
Tijn Zeelenberg
C. H. Kusters
...
Franciscus Hendericus Aäron Bakker
J P Ruurda
Willem M. Brinkman
Peter H. N. de With
Fons van der Sommen
50
1
0
25 Jul 2024
CycleSAM: One-Shot Surgical Scene Segmentation using Cycle-Consistent Feature Matching to Prompt SAM
Aditya Murali
Pietro Mascagni
Didier Mutter
N. Padoy
VLM
MedIm
53
3
0
09 Jul 2024
Robust Surgical Phase Recognition From Annotation Efficient Supervision
Or Rubin
S. Laufer
31
0
0
26 Jun 2024
Surgical Triplet Recognition via Diffusion Model
Daochang Liu
Axel Hu
Mubarak Shah
Chang Xu
MedIm
45
0
0
19 Jun 2024
DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery
Yuning Zhou
H. Badgery
Matthew Read
James Bailey
Catherine E. Davey
47
1
0
03 Jun 2024
A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal Endoscopy
Edward Sanderson
B. Matuszewski
23
2
0
11 Jan 2024
Unsupervised Segmentation of Colonoscopy Images
Heming Yao
Jérôme Lüscher
Benjamín Gutiérrez-Becker
Josep Arús-Pous
Tommaso Biancalani
A. Bigorgne
David Richmond
MedIm
37
0
0
19 Dec 2023
Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning
Aditya Murali
Deepak Alapatt
Pietro Mascagni
Armine Vardazaryan
Alain Garcia
Nariaki Okamoto
Didier Mutter
N. Padoy
MedIm
36
7
0
11 Dec 2023
Jumpstarting Surgical Computer Vision
Deepak Alapatt
Aditya Murali
V. Srivastav
Pietro Mascagni
AI4SafeChole Consortium
N. Padoy
18
2
0
10 Dec 2023
SAF-IS: a Spatial Annotation Free Framework for Instance Segmentation of Surgical Tools
Luca Sestini
Benoit Rosa
Elena De Momi
G. Ferrigno
N. Padoy
44
0
0
04 Sep 2023
Self-Supervised Learning for Endoscopic Video Analysis
Roy Hirsch
Mathilde Caron
Regev Cohen
Amir Livne
Ron Shapiro
Tomer Golany
Roman Goldenberg
Daniel Freedman
Ehud Rivlin
SSL
38
16
0
23 Aug 2023
Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures
Kun Yuan
V. Srivastav
Tong Yu
Joël L. Lavanchy
Pietro Mascagni
Pietro Mascagni
N. Padoy
Nicolas Padoy
37
20
0
27 Jul 2023
TUNeS: A Temporal U-Net with Self-Attention for Video-based Surgical Phase Recognition
Isabel Funke
Dominik Rivoir
Stefanie Krell
Stefanie Speidel
31
3
0
19 Jul 2023
SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis
Ziang Xu
J. Rittscher
Sharib Ali
26
3
0
31 May 2023
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training
Utku Ozbulak
Hyun Jung Lee
Beril Boga
Esla Timothy Anzaku
Ho-min Park
Arnout Van Messem
W. D. Neve
J. Vankerschaver
DiffM
26
36
0
23 May 2023
Latent Graph Representations for Critical View of Safety Assessment
Aditya Murali
Deepak Alapatt
Pietro Mascagni
Armine Vardazaryan
Alain Garcia
Nariaki Okamoto
Didier Mutter
N. Padoy
MedIm
23
19
0
08 Dec 2022
Live Laparoscopic Video Retrieval with Compressed Uncertainty
Tong Yu
Pietro Mascagni
J. Verde
J. Marescaux
Didier Mutter
N. Padoy
42
7
0
08 Mar 2022
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
320
7,457
0
11 Nov 2021
Reducing Annotating Load: Active Learning with Synthetic Images in Surgical Instrument Segmentation
Haonan Peng
Shan Lin
Daniel King
Yun-Hsuan Su
Randall Bly
K. Moe
Blake Hannaford
MedIm
23
6
0
07 Aug 2021
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth
Bo Zhou
Chi Liu
James S. Duncan
MedIm
57
18
0
12 Jul 2021
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
368
5,811
0
29 Apr 2021
Self-supervised Co-training for Video Representation Learning
Tengda Han
Weidi Xie
Andrew Zisserman
SSL
215
309
0
19 Oct 2020
Video Representation Learning by Recognizing Temporal Transformations
Simon Jenni
Givi Meishvili
Paolo Favaro
131
133
0
21 Jul 2020
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
279
3,375
0
09 Mar 2020
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
A. P. Twinanda
S. Shehata
Didier Mutter
J. Marescaux
M. de Mathelin
N. Padoy
188
842
0
09 Feb 2016
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